Ovarian cancer,a highly malignant tumor in the female reproductive system,is often discovered at an ad-vanced stage,typically accompanied by multiple metastases in the abdominal and pelvic cavities. The primary treatment for o varian cancer is cytoreductive surgery,with the goal of achieving"optimal debulking"meaning that residual tumor diameters in the patient's body after surgery do not exceed 1 centimeter or are not visibly detectable. Consequently,preoperative assess-ment of the resectability of ovarian cancer and its abdominal and pelvic metastatic lesions is extremely critical. In this pro-cess,imaging modalities such as CT,MRI,and PET/CT play a vital role in the accurate staging and evaluation of metastatic foci,each offering distinct perspectives and information. Currently,a significant amount of research is exploring how to opti-mize the preoperative assessment of the resectability of ovarian cancer through these imaging methods. Moreover,the rapid de-velopment of artificial intelligence technology has introduced new possibilities for enhancing the precision and efficiency of these assessments. Nonetheless,further research is necessary in this area to better support clinicians in tailoring treatment plans for patients with ovarian cancer.
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